{"id":"W3102518714","doi":"10.1080/17445647.2020.1838353","title":"Diverse supraglacial drainage patterns on the Devon ice Cap, Arctic Canada","year":2020,"lang":"en","type":"article","venue":"Journal of Maps","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China; National Aeronautics and Space Administration","keywords":"Arctic; Surface runoff; Meltwater; Geology; Drainage; Greenland ice sheet; Hydrology (agriculture); Physical geography; Geomorphology; Snow; Oceanography; Glacier; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001040931,0.000193996,0.0001634366,0.001488284,0.001330473,0.0009929196,0.0002784355,0.0001367303,0.001227591],"category_scores_gemma":[0.0003886492,0.0001181107,0.0001641963,0.002674088,0.0005626233,0.000203743,0.0004685362,0.0001726858,0.0000961653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009578551,"about_ca_system_score_gemma":0.009812299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9844854,"about_ca_topic_score_gemma":0.9966701,"domain_scores_codex":[0.9998552,0.000005695793,0.000004664545,0.00003995446,0.00004361902,0.00005088412],"domain_scores_gemma":[0.9997039,0.00001902107,0.00003275088,0.000008476349,0.0001667347,0.00006898471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009625707,0.00002378659,0.9629951,0.00005243188,0.00006728111,0.0001859841,0.002158609,0.002833007,0.003864857,0.0007981278,0.002949469,0.023975],"study_design_scores_gemma":[0.000002154946,0.000002780599,0.9949914,0.00001274231,0.000009404224,0.0000299015,0.001424933,0.001018743,0.0001833677,0.00004540425,0.002270691,0.000008569735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916419,0.0001962758,0.0001261369,0.00008257079,0.000002421811,0.00001040549,0.00434078,0.00002279512,0.003576738],"genre_scores_gemma":[0.996353,0.0001885036,0.0002922638,0.00002175497,0.000001213652,0.000005990998,0.002259934,0.000007970598,0.0008692967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01551461,"threshold_uncertainty_score":0.06949759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02804667501507714,"score_gpt":0.1902528020720909,"score_spread":0.1622061270570138,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}